Aims and Scope
Sustainable Machine Intelligence Journal (SMIJ), proudly affiliated with the distinguished portfolio of Sciences Force Publisher, stands as an eminent conduit for the advancement of scholarly discourse at the nexus of artificial intelligence, sustainability, and ethical technological paradigms. Positioned within the domain of computer science, the journal is resolutely committed to propelling pioneering research endeavors and groundbreaking machine intelligence solutions that contribute to applied sustainable development in real-world.
Mission Statement:
At the forefront of our mandate is the solemn mission to establish the Sustainable Machine Intelligence Journal (SMIJ) as a preeminent open-access platform. Our purpose is to provide an intellectual locus for academics, researchers, and practitioners deeply engaged in the development and application of machine intelligence solutions that ardently contribute to global sustainability imperatives, environmental preservation, and conscientious technological deployment.
Scope of the Journal:
The purview of the journal is expansive, encompassing a spectrum of themes within the domain of sustainable machine intelligence, including, though not exhaustively, the following areas:
- Deep Reinforcement Learning (DRL)
- Graph Neural Networks (GNN)
- Quantum Machine Learning (QML)
- Meta-Learning Approaches
- Neural Architecture Search (NAS)
- Federated Learning
- Explainable AI (XAI)
- Swarm Intelligence in Eco-friendly Sensor Networks
- Generative Adversarial Networks (GANs)
- Quantum-enhanced Machine Learning
- Lifelong Learning
- Knowledge Graphs in Biodiversity Informatics
- Self-supervised Learning
- Natural Language Processing (NLP)
- Hopfield Neural Networks
- Geospatial Intelligence
- Adversarial Machine Intelligence
- Attention Mechanisms
Applications:
Moreover, the Sustainable Machine Intelligence Journal aims to catalyze the integration of innovative machine intelligence applications across various domains, reinforcing its commitment to fostering industrial adoption. The journal invites submissions showcasing novel applications with a focus on sustainability and ethical considerations. The diverse range of relevant applications includes (but is not limited to):
- Sustainable Agriculture Automation
- Eco-Friendly Energy Grid Management
- Intelligent Waste Sorting Systems
- Climate Change Prediction Models
- Carbon Footprint Reduction in Transportation
- Green Data Centers and Cloud Computing
- Conservation Drones for Wildlife Monitoring
- Renewable Energy Forecasting
- Intelligent Water Resource Management
- Sustainable Supply Chain Optimization
- Environmental Impact Assessment in Urban Planning
- Precision Farming with AI
- Ocean Health Monitoring Systems
- Green Building Design and Energy Efficiency
- AI-assisted Circular Economy Strategies
- Wildlife Trafficking Prevention
- Eco-friendly Transportation Networks
- Sustainable Materials Discovery through AI
- Pollution Monitoring and Control
- Carbon Trading and Market Intelligence
- Intelligent Recycling Systems
- Sustainable Fisheries Management
- Climate-responsive Smart Infrastructure
- AI-driven Conservation Robotics
- Smart Grids for Renewable Integration
- Green Logistics and Transportation Planning
- Sustainable Urban Mobility Solutions
- Intelligent Resource Allocation in Ecosystems
- AI-guided Environmental Policy Modeling
- Eco-conscious Consumer Behavior Analytics